At a Glance
- Tasks: Transform data into insights that drive decisions across teams.
- Company: Awesome Tech For Good, solving society’s toughest challenges.
- Benefits: Enhanced maternity/paternity leave, team lunches, socials, and professional development.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Join a mission-driven team and make a real impact with data.
- Qualifications: Strong SQL skills and experience with BigQuery and dbt Core.
The predicted salary is between 50000 - 65000 £ per year.
Awesome Tech For Good used by hundreds of thousands globally, solving some of society’s hardest problems. This is a key hire within a growing data function, helping transform warehouse data into trusted, self-serve insights that drive decisions across Product, Growth, Operations and Commercial teams.
The role involves owning the analytics layer end-to-end, from data modelling and metric definition through to dashboards, data quality and stakeholder enablement. Working closely with product and engineering teams, you’ll help establish a scalable analytics platform that enables faster, more informed decision-making across the business. Alongside building and maintaining analytics models, you’ll contribute to orchestration, testing, governance and data platform reliability, helping shape best practices as the function continues to mature.
Stack: BigQuery, dbt Core, Airflow, Airbyte, ThoughtSpot, Python, GitHub Actions
What you need:
- Strong SQL and data modelling experience
- Experience/Knowledge with BigQuery and dbt Core in production environments
- Experience building dashboards and self-serve analytics solutions
- Knowledge of Airflow, data quality testing and analytics engineering best practices
What do you get:
- Enhanced Maternity/Paternity
- Team Lunches
- Team Socials
- Professional Development
Please apply if you would like to learn more!
Analytics Engineer employer: RevTech
Awesome Tech For Good is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. With a strong focus on professional development and team engagement through regular socials and enhanced family leave policies, employees are empowered to grow their skills while contributing to meaningful projects that tackle societal challenges. Located in a vibrant tech hub, this role as an Analytics Engineer provides the unique opportunity to shape data-driven decision-making across various teams, making a tangible impact on the company's mission.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like RevTech!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Engineer at RevTech.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RevTech.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineer at RevTech, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at RevTech, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RevTech. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RevTech
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RevTech!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
